50 papers
This paper proposes a minimal model demonstrating that entropy maximization of spacers induces an attractive force between stickers, leading to sticker clustering and a slow, glassy relaxation process that explains the long-term aging and solidification of biomolecular condensates.
This paper reviews deterministic and stochastic network-level models to explain how Arrhenius-like temperature dependencies in individual biochemical reactions transform into complex emergent system behaviors, such as non-Arrhenius scaling and thermal limits, thereby bridging empirical temperature response curves with the molecular organization of biological systems.
This review article surveys phenomenological and microscopic models used to describe the complex, non-Arrhenius temperature responses of biological systems across various scales, defining key operational metrics like optimal temperatures and thermal limits while setting the stage for a subsequent discussion on how system-level curves emerge from interacting reactions.
The paper introduces IFACE, a novel framework that unifies intrinsic geometry and chemical fields to compute a joint distance for protein surfaces, enabling more accurate separation of conformational variability from structural divergence and revealing conserved functional pockets within complex protein families.
This paper numerically investigates how external magnetic fields influence the long-range transport of large polarons (solitons) in discrete quasi-one-dimensional systems, demonstrating that the effect depends on both field strength and specific system parameters that define soliton properties, while also examining polarons generated by donor complexes.
This paper proposes a biologically plausible, local learning framework for time-continuous neuronal networks that approximates backpropagation through time by deriving real-time error dynamics from a prospective energy function, thereby unifying and extending the Generalized Latent Equilibrium model to enable spatiotemporal credit assignment consistent with brain circuitry.
This study characterizes the magnetic properties of an individual *Magnetospirillum gryphiswaldense* bacterium by combining ultrasensitive torque magnetometry, transmission electron microscopy, and micromagnetic simulations to reveal the magnetic configurations, remanent moment, and effective anisotropy of its internal magnetosome chain.
This paper reviews various physical models, ranging from discrete to continuum approaches, used to understand the mechanics and coordination of embryonic epithelial wound healing, while highlighting the trade-offs between complexity and interpretability and proposing future directions for hybrid modeling and experimental integration.
This paper presents a computationally efficient method that leverages short unbiased molecular dynamics trajectories and Harmonic Linear Discriminant Analysis (HLDA) to predict how single-point mutations reshape the free-energy landscape of the CLN025 peptide, offering a data-driven approach for engineering biomolecular stability without extensive sampling.
This paper presents a model of a spring-connected crawler using tabular Q-learning to demonstrate that while centralized control offers superior speed and robustness by leveraging long-range correlations, intermediate hierarchical architectures provide an optimal trade-off between performance and computational cost compared to purely distributed or fully centralized approaches.
This paper presents a systematic asymptotic reduction of the Poisson–Nernst–Planck–Stokes equations for narrow channels that remains valid even when the Debye length is comparable to the channel width, enabling the prediction of complex ion transport phenomena such as counter-gradient ion flow and enhanced selectivity due to finite-size effects.
This paper investigates how topographical obstacles influence cell chemotaxis by modifying the Keller-Segel model with a spatially dependent chemotaxis coefficient, demonstrating that this modification is crucial for preventing cell concentration blow-up.
This paper establishes a hydrodynamic framework for force dipoles in compressible membranes with odd viscosity by deriving an exact Green tensor that reveals distinct dynamical regimes and chiral observables, such as transverse drift and relative motion, arising from the interplay of shear, compressional, and odd-viscous modes.
This paper extends classical nucleation theory for virus capsid assembly by incorporating thermal rim fluctuations, demonstrating that these geometric undulations generate an entropic contribution that renormalizes effective line tension and can either lower or raise the nucleation barrier depending on binding energy and temperature.
This paper introduces a minimal model demonstrating that inhomogeneous external friction, through hydrodynamic screening and mechanochemical frustration, can actively guide and oscillate pattern formation in active fluids by coupling local stress regulation with flow-induced chemical redistribution.
The paper proposes a biologically plausible mechanism where agents occasionally follow a deviating minority neighbor rather than the majority, a simple rule that triggers heavy-tailed reorientation cascades and significantly enhances a swarm's responsiveness to environmental changes while maintaining group cohesion.
This paper demonstrates that spatial symmetry acts as a fundamental physical optimality principle for efficient locomotion in viscous fluids, explaining the prevalence of symmetric swimming gaits in nature through a hydrodynamic duality that proves symmetric strokes yield optimal speeds and efficiencies unattainable by generic non-symmetric strokes.
This paper presents a dynamical model demonstrating that centipedes achieve rapid and efficient undulatory locomotion by actively modulating body stiffness to synchronize leg movements with body curvature, suggesting that complex coordination emerges from embodied physical properties rather than solely from neural computation.
This paper demonstrates that a shape-changing microswimmer, guided by reinforcement learning to adapt its aspect ratio based on local flow signals, can robustly maximize its displacement in turbulent environments, outperforming fixed-shape strategies and revealing a physically interpretable control paradigm for navigation in complex flows.
This study characterizes *Bifidobacterium longum* subsp. *longum* 35624 (BB35) thin films as a novel, eco-friendly wide-bandgap semiconductor with distinct optical absorption and photoluminescence properties, demonstrating their effectiveness as stable, high-sensitivity relative humidity sensors.